Data · dataset · 2026
Supplementary Dataset for: Patient Attitudes Toward Artificial Intelligence in Dermatology—An Exploratory Cross-Sectional Survey Demonstrating Preference for Physician Oversight
Listed in Teesside University Research Data Repository
The supplementary materials provide comprehensive supporting data and methodological transparency for this exploratory cross-sectional study evaluating patient attitudes toward artificial intelligence (AI) in dermatology.
Description
Four supplementary tables present detailed stratified analyses: Supplementary Table 1: Participant demographics by technology comfort level Supplementary Table 2: Survey responses by technology comfort level Supplementary Table 3: Participant demographics by age group Supplementary Table 4: Survey responses by age group These stratified analyses enable a deeper examination of how demographic characteristics and self-reported technology comfort influence perceptions of AI in dermatologic care, extending beyond the summary findings reported in the main manuscript.
The full survey instrument is included to ensure transparency and reproducibility, allowing readers to evaluate question design and response structure. The JAAD survey checklist is provided to demonstrate adherence to established reporting standards for survey-based research. Together, these materials strengthen the rigor, transparency, and interpretability of the study and provide the necessary detail to contextualize findings.
Links
Where it is published
- DOI doi.org/10.17632/w4t3fbvjnc.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Artificial intelligence · Computer Science & AI · Dermatology · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/w4t3fbvjnc.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:320205 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Dermatology'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |